Survival and clinical characteristics of patients with disorders of consciousness in a developing country between 2002 and 2018.

OBJECTIVE: Describe the survival, sociodemographic and clinical characteristics of subjects with disorders of consciousness in a reference rehabilitation center, in a developing country. METHODS: Patients with disorders of consciousness (DoC) caused by acquired neurological injuries, admitted between the years 2002-2018 in a neurorehabilitation center. Extracted data covered demographics, clinical details, survival time, and discharge information. Cox proportional hazard model and Kaplan-Meier analysis were used to reveal, associations with survival. RESULT: Out of 5064 neurological cases, 159 patients were diagnosed with DoC. The demographic data showed a male dominance (65%), with an average injury age of 42 years. The most common causes were traumatic (41%), anoxic (36%), and vascular (10%), with traffic accidents accounting for 71% of traumatic injuries. The study found that 75% of patients remained in a vegetative state (VS), and 25% in a minimally conscious state (MCS), with an average survival of 2110 days. CONCLUSION: There were no significant differences in survival days between patients in MCS and VS. Patients with traumatic injuries showed a higher survival rate than those with non-traumatic injuries. Age and etiology were identified as factors associated with a higher risk of death.

Static and Dynamic Hand Gestures: A Review of Techniques of Virtual Reality Manipulation.

This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blending of 3D modeling, sound effects, and sensing technology. This review presents state-of-the-art hardware and software techniques used in hand gesture detection, primarily for VR applications. It discusses the challenges in hand gesture detection, classifies gestures as static and dynamic, and grades their detection difficulty. This paper also reviews the haptic devices used in VR and their advantages and challenges. It provides an overview of the process used in hand gesture acquisition, from inputs and pre-processing to pose detection, for both static and dynamic gestures.

Mucormycosis in Liver Allograft Following Transplant for Secondary Biliary Cirrhosis.

Mucormycosis, a group of opportunistic mycoses caused by Mucorales, present a significant threat to immunocompromised patients. In this report, we present the case of a 57-year-old male patient who underwent liver transplant for secondary biliary cirrhosis following inadvertent bile duct injury. Despite initial satisfactory postoperative evolution, the patient developed fever, and imaging revealed a suspicious lesion. Preliminary culture growth suggested a filamentous fungus, leading to initiation of liposomal amphotericin B. However, the lesion progressed, and a surgical debridement was necessary. During surgery, involvement of the liver dome and diaphragm was observed, and a nonanatomical hepatectomy was performed. Despite efforts, the patient's condition deteriorated, ultimately resulting in multiple organ failure and mortality. This case emphasizes the challenging nature of mucormycosis in livertransplant recipients.

Ayudas cognitivas en quirófano. Experiencia del Departamento de Anestesia en el Centro Médico ABC / Cognitive aids in the operating room. Experience of the Anesthesia Department at ABC Medical Center

Resumen: Los manuales de emergencia desarrollados a partir de las ayudas cognitivas son componente esencial dentro de la sala de operaciones para el manejo oportuno de crisis, con la ventaja de disminuir los errores por omisión. El propósito de esta redacción fue retomar la experiencia mundial actualizada con los mismos y compararla con la del Centro Médico ABC. El proceso de recolección de datos se hizo mediante una encuesta a través de Google Forms; los datos obtenidos de la encuesta se convirtieron en porcentajes y se usaron para resumir las variables categóricas. Los resultados mostraron que la mayoría de los médicos tenían conocimiento de esta herramienta en quirófano y más de la mitad en efecto lo utilizaron en situaciones críticas. Las situaciones más descritas fueron: broncoespasmo, choque anafiláctico y sospecha de hipertermia maligna.

Abstract: The emergency manuals based on cognitive aids are an essential component within the operating room for timely crisis management, with the advantage of reducing errors due to omission. The purpose of this writing was to resume the current world experience with them and compare it with the ABC Medical Center. The data obtained from the survey were converted into percentages and used to summarize the categorical variables. The results showed that most doctors were aware of this tool in the operating room and more than a half actually used it in critical situations. The most described situations were: bronchospasm, anaphylactic shock and suspicion of malignant hyperthermia.

Genome-wide association study for growth traits in Blanco Orejinegro and Romosinuano cattle.

Growth traits are economically important characteristics for the genetic improvement of local cattle breeds. Genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of complex traits. The aim of this study was to perform a GWAS to identify genomic regions and genes associated to birth weight, weaning weight adjusted for 240 days, 16 months, and 24 months weight in Romosinuano (ROMO) and Blanco Orejinegro (BON) cattle. A single-step genomic-BLUP was implemented using 596 BON and 569 ROMO individuals that were genotyped with an Illumina BovineSNP50 BeadChip. There were 25 regions of interest identified on different chromosomes, with few of them simultaneously associated with two or more growth traits and some were common to both breeds. The gene mapping allowed to find 173 annotations on these regions, from which 49 represent potential candidate genes with known growth-related functions in cattle and other species. Among the regions that were associated with several growth traits, that at 24 - 27 MB of BTA14, has important candidate genes such as LYPLA1, XKR4, TMEM68 and PLAG1. Another region of interest at 0.40-0.77 Mb of BTA23 was identified in both breeds, containing KHDRBS2 as a potential candidate gene influencing body weight. Future studies targeting these regions could provide more knowledge to uncover the genetic architecture underlying growth traits in BON and ROMO cattle. The genomic regions and genes identified in this study could be used to improve the prediction of genetic merit for growth traits in these creole cattle breeds.

Chromosome-Mediated Colistin Resistance in Clinical Isolates of Klebsiella pneumoniae and Escherichia coli: Mutation Analysis in the Light of Genetic Background.

Purpose: Colistin resistance mechanisms involving mutations in chromosomal genes associated with LPS modification are not completely understood. Mutations in genes coding for the MgrB regulator frequently account for colistin resistance in Klebsiella pneumoniae, whereas mutations in genes coding for PhoPQ and PmrAB are frequent in E. coli. Our aim was to perform a genetic analysis of chromosomal mutations in colistin-resistant (MIC ≥4 µg/mL) clinical isolates of K. pneumoniae (n = 8) and E. coli (n = 7) of different STs. Methods: Isolates were obtained in a 3-year period in a university hospital in Santiago, Chile. Susceptibility to colistin, aminoglycosides, cephalosporins, carbapenems and ciprofloxacin was determined through broth microdilution. Whole genome sequencing was performed for all isolates and chromosomal gene sequences were compared with sequences of colistin-susceptible isolates of the same sequence types. Results: None of the isolates carried mcr genes. Most of the isolates were susceptible to all the antibiotics analyzed. E. coli isolates were ST69, ST127, ST59, ST131 and ST14, and K. pneumoniae isolates were ST454, ST45, ST6293, ST380 and ST25. All the isolates had mutations in chromosomal genes analyzed. K. pneumoniae had mutations mainly in mgrB gene, whereas E. coli had mutations in pmrA, pmrB and pmrE genes. Most of the amino acid changes in LPS-modifying enzymes of colistin-resistant isolates were found in colistin-susceptible isolates of the same and/or different ST. Eleven of them were found only in colistin-resistant isolates. Conclusion: Colistin resistance mechanisms depend on genetic background, and are due to chromosomal mutations, which implies a lower risk of transmission than plasmid-mediated genes. Colistin resistance is not associated with multidrug-resistance, nor to high-risk sequence types.

Genomic variability and population structure of six Colombian cattle breeds.

Analyses of the genetic diversity of indigenous cattle are essential for implementing conservation programs, promoting their sustainable use and maintaining productive advantages offered by these breeds in local conditions. The aim of this study was to investigate the genetic diversity and population structure of six Colombian cattle breeds: Blanco Orejinegro (BON), Costeño con Cuernos (CCC), Romosinuano (ROM), Sanmartinero (SAM), Casanareño (CAS), and Hartón del Valle (HDV). Two additional breed groups were included for comparison: Zebu (CEB) and a crossbreed of Colombian cattle breeds × Zebu. Genetic diversity within breeds was analyzed using expected heterozygosity (He), inbreeding coefficient (f), and runs of homozygosity (ROH). Population structure was assessed using model-based clustering (ADMIXTURE) and principal components analysis (PCA). Zebu cattle showed the lowest genetic diversity (He = 0.240). Breeds with the highest genetic diversity level were HDV and BON (He = 0.350 and 0.340, respectively). Inbreeding was lower for Colombian cattle breeds ranging between 0.005 and 0.045. Overall, the largest average genetic distance was found among the group of Colombian cattle breeds and Zebu, while the smallest was found between ROM and CCC. Model-based clustering revealed some level of admixture among HDV and CAS cattle which is consistent with their recent history. The results of the present study provide a useful insight on the genetic structure of Colombian cattle breeds.

Evaluation of effective coverage for type 2 diabetes in Mexican primary care health information systems: a retrospective registry analysis.

BACKGROUND: As the leading cause of disability and the fourth leading cause of premature death in Mexico, type 2 diabetes (T2D) represents a serious public health concern. The incidence of diabetes has increased dramatically in recent years, and data from the Mexican National Health and Nutrition Survey (ENSANUT) indicate that many people remain undiagnosed. Persistent socioeconomic health care barriers exacerbate this situation, as T2D morbidity and mortality are worsened in vulnerable populations, such as those without social security. We evaluated the performance of public primary health centers (PHCs) in T2D medical attention through the measure of effective coverage (EC, a combined measure of health care need, use, and quality) at national, state, health jurisdiction, and municipality levels. METHODS: This retrospective analysis used blinded data recorded during 2017 in the Non-communicable Diseases National Information System (SIC) and T2D prevalence reported in 2018 ENSANUT to evaluate the EC achieved. We included individuals ≥ 20 years old without social security who did not declare the use of private health care services. Each EC component (need, use, and quality) was estimated based on the Shengelia adapted framework. The Kruskal-Wallis test was applied to evaluate the associations among EC quintiles and demographics. RESULTS: In 2017, 26.5 million individuals, aged ≥ 20 years, without social security, and without the use of private health care services, were under the care of 12,086 PHCs. The national prevalence of T2D was 10.3%, equivalent to 2.6 million people living with T2D in need of primary health care. Large contrasts were seen among EC components between and within Mexican states. We found that only 37.1% of the above individuals received health services at PHCs and of them, 25.8% improved their metabolic condition. The national EC was 9.3%, and the range (by health jurisdiction) was 0.2%-38.6%, representing a large geographic disparity in EC. We found an evident disconnect among need, utilization, and quality rates across the country. CONCLUSIONS: Expansion and improvement of EC are urgently needed to address the growing number of people living with T2D in Mexico, particularly in states with vulnerable populations.

MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women.

Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study 'Cuido mi embarazo'. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of developing GDM. This AI-based model will be applied throughout Mexico to improve the timing and quality of GDM interventions. Given the ease of obtaining the model variables, this model is expected to be clinically strategic, allowing prioritization of preventative treatment and promising a paradigm shift in prevention and primary healthcare during pregnancy. This AI model uses variables that are easily collected to identify pregnant women at risk of developing GDM with a high level of accuracy and precision.

Instrumento de avaliação prática empírica de materiais termoplásticos para órteses / Empirical practical evaluation instrument for thermoplastic materials for orthoses

Resumo Introdução Após o advento dos termoplásticos de baixa temperatura, sua prevalência na confecção de órteses para membros superiores é identificada por vários autores. A compreensão de suas propriedades, por parte do terapeuta ocupacional e de outros profissionais que atuam na área, é importante no processo de seleção do termoplástico, que segue uma lógica para combinar as características do material à função desejável para cada órtese. Objetivos Sistematizar as características dos termoplásticos de baixa temperatura e, a partir disso, elaborar um instrumento para realizar testes práticos empíricos com os materiais a fim de estabelecer critérios para o seu manuseio e avaliação. Método Pesquisa de caráter exploratório, constituindo a criação de procedimentos de teste e, consequentemente, a elaboração de um instrumento de avaliação de abordagem qualitativa e que valoriza a experiência prática do profissional, que manipula o material e avalia cada requisito. Resultados O instrumento criado contempla 14 caraterísticas do material, acompanhadas de uma definição, um procedimento com recomendações para o teste prático e um campo destinado ao preenchimento das alternativas de resposta. Conclusão O instrumento considera características importantes a serem verificadas durante a avaliação dos materiais e poderá direcionar o olhar e os registros do profissional, auxiliando o nas decisões clínicas. Isso será importante para melhorar a qualidade das órteses e de outros dispositivos de Tecnologia Assistiva confeccionados com esse grupo de materiais. Além disso, a sistematização da avaliação prática dos materiais termoplásticos poderá auxiliar no desenvolvimento de estudos da área da saúde e de pesquisas envolvendo materiais para órteses.

Abstract Introduction After the advent of low-temperature thermoplastics, their prevalence in the manufacture of orthoses for upper limbs has been identified by several authors. The understanding of their properties by occupational therapists and other professionals working in this field is important in the process of selecting the thermoplastic, which follows a logic to match the material's characteristics to the desired function for each orthosis. Objectives Systematize the characteristics of low-temperature thermoplastics and, from that, develop an instrument for carrying out practical empirical tests with the materials, to establish criteria for their handling and evaluation. Method Exploratory study consisting of the creation of testing procedures and, consequently, the development of a qualitative assessment instrument that values ​​the practical experience of the professional who handles the material and evaluates each requirement. Results The created instrument includes 14 material characteristics, accompanied by a definition, a procedure with recommendations for the practical testing, and a field for filling in response alternatives. Conclusions The instrument considers important characteristics to be verified during the evaluation of materials and can direct the professional's observations and records, aiding in clinical decision-making. This will be important to improve the quality of orthoses and other assistive technology devices made with these thermoplastics. In addition, the systematization of the practical evaluation of thermoplastic materials can assist in the development of health studies and research involving materials for orthoses.

MIDO COVID: A digital public health strategy designed to tackle chronic disease and the COVID-19 pandemic in Mexico.

Screening, prevention, and management of non-communicable diseases (NCDs, including obesity, hypertension, and type 2 diabetes) is the core function of Integrated Measurement for Early Detection (MIDO), a digital strategy developed by the Carlos Slim Foundation in Mexico. An extension of this strategy, MIDO COVID, was developed to address the need for an integrated plan in primary health care during the COVID-19 pandemic. MIDO COVID facilitates planning, surveillance, testing, and clinical management of SARS-CoV-2 infections and the major NCDs and their pre-disease states, to streamline the continuum of care. MIDO COVID screening was applied in 1063 Carso Group workplaces in 190 municipalities of the 32 Mexican states. Staff were trained to screen healthy workers for NCDs using a questionnaire, anthropomorphic measurements, and blood work; healthy individuals returning to work also received a SARS-CoV-2 antibody test. Between June 26 and December 31, 2020, 58,277 asymptomatic individuals underwent screening. The prevalence of obesity, hypertension, and type 2 diabetes was 32.1%, 25.7%, and 9.7% respectively. Only 2.2%, 8.8%, and 4.5% of individuals, respectively, were previously aware of their condition. Pre-obesity was identified in 38.6%, pre-hypertension in 17.4%, and prediabetes in 7.5% of the population. Risk of SARS-CoV-2 infection was highest for individuals with multiple NCDs. Many Mexicans are unaware of their health status and potentially increased risk of COVID-19 and serious complications. As a universal strategy implemented regardless of social factors, MIDO COVID promotes equity in access to health care prevention and early stage detection of NCDs; the information gained may help inform decisionmakers regarding prioritising vulnerable populations for immunisation.

Humoral response to different SARS-CoV-2 vaccines in orthotopic liver transplant recipients.

BACKGROUND: The safety and efficacy data of the different types of available vaccines is still needed. The goal of the present analysis was to evaluate the humoral response to the COVID-19 vaccines in orthotopic liver transplant (OLT) recipients. METHODS: Participants were included from February to September 2021. No prioritized vaccination roll call applied for OLT patients. Controls were otherwise healthy people. Blood samples were drawn after 15 days of the complete vaccine doses. The samples were analyzed according to the manufacturer's instructions using the Liaison XL platform from DiaSorin (DiaSorin S.p.A., Italy), and SARS-COV-2 IgG II Quant (Abbott Diagnostics, IL, USA). RESULTS: A total of 187 participants (133 OLT, 54 controls, median age: 60 years, 58.8% women) were included for the analysis; 74.3% had at least one comorbidity. The serologic response in OLT patients was lower than in controls (median 549 AU/mL vs. 3450 AU/mL, respectively; p = 0.001). A positive humoral response was found in 133 OLT individuals: 89.2% with BNT162b2 (Pfizer-BioNTech), 60% ChAdOx1 nCOV-19 (Oxford-AstraZeneca), 76.9% with CoronaVac (Sinovac, Life Sciences, China), 55.6% Ad5-nCov (Cansino, Biologics), 68.2% Gam-COVID-Vac (Sputnik V) and 100% with mRNA-1273. In controls the serological response was 100%, except for Cansino (75%). In a multivariable model, personal history of COVID-19 and BNT162b2 inoculation were associated with the serologic response, while the use of prednisone (vs. other immunosuppressants) reduced this response. CONCLUSION: The serologic response to COVID-19 vaccines in OLT patients is lower than in healthy controls. The BNT162b2 vaccine was associated with a higher serologic response.

A standardized assessment of moldability parameters of thermoplastic materials used in orthotic manufacturing.

OBJECTIVE: To establish parameters for standardized assessment of the moldability of thermoplastic materials used in orthotic manufacturing and to develop tests for quantification of moldability parameters by simulating the demands of clinical practice, in order to enable accurate and controlled analysis of material properties. PRIMARY OUTCOME MEASUREMENTS: Two commercially available materials were submitted to tests for standardized measurement of moldability. Results were correlated with manufacturer information. Moldability assessment was based on two parameters (conformation and fit), expressed as percentages. RESULTS: Tests, standardized molding procedures and measurements were described. Quantitative data (conformation and fit expressed in percentages) were derived from a pilot study comparing Aquaplast-T™ and Ezeform™. Findings of that study revealed that Aquaplast-T™ is more moldable than Ezeform™ and support technical information provided by the manufacturer. CONCLUSIONS: The assessment method described enabled objective and repeatable measurement of the moldability of materials used in orthotic manufacturing and represent a significant advancement in comparative analysis of materials, with potential positive impacts on therapeutic procedures and clinical decision-making. Tests developed in this study can be used to quantify data provided by manufacturers in order to allow their use by researchers and professionals in rehabilitation.

Un modelo para la evaluación de las habilidades no técnicas en anestesiología: una revisión de la literatura / A model for the assessment of non-technical skills in anesthesiology: a literature review

Resumen: Hasta 80% de los errores médicos se deben a fallas en factores humanos (mala comunicación, monitoreo inadecuado, fallas de verificación, etc.), por lo que el entrenamiento de los anestesiólogos exige el desarrollo de habilidades no técnicas en anestesiología. Las habilidades no técnicas son las habilidades cognitivas, sociales y personales que complementan las habilidades técnicas, y que contribuyen al desempeño seguro y eficiente de la tarea. En 2004 la Universidad de Aberdeen fue la primera en plantear un modelo para la definición y evaluación de estas habilidades en el ámbito médico. El modelo práctico consta de 15 elementos incluidos en cuatro categorías: manejo de la tarea, trabajo en equipo, conciencia de la situación y toma de decisiones. La herramienta es utilizada por anestesiólogos graduados para evaluar a quienes están en entrenamiento en el quirófano o mediante simulación clínica. La validez de este sistema, así como su importancia en la seguridad del paciente, ha sido demostrada por diferentes estudios.

Abstract: Close to 80% of medical errors are due to human factors (poor communication, inadequate monitoring, failure to check, etc.), which is why training for anaesthetists requires developing essential soft skills for Anaesthesiology. Soft skills are defined as specific cognitive, socio-emotional and interpersonal abilities complementing core skills which contribute to the safe and efficient carrying out of a job-specific task. In 2004, the University of Aberdeen established a first model for defining and evaluating these soft skills. The model consists of 15 elements across four categories: task management, team working, situational awareness and decision-making. The model is a tool employed by postgraduate anaesthesiologists to assess trainees in the operating theatre or through clinical simulation. The validity of this system, as well as its importance for patient safety have been demonstrated in a range of studies.

Rapid establishment of a dedicated COVID-19 hospital in Mexico city during a public health crisis.

Healthcare systems worldwide have adapted and reorganized during the coronavirus disease 2019 (COVID-19) pandemic. Here, we provide a framework based on a public-private partnership that funded, developed, and operated a temporary COVID-19 hospital in Mexico City. We describe the creation of a collaborative network of primary healthcare triage centers and hospitals distributed throughout the city in recognition of demographic and geographic patterns that correlate with COVID-19 infections, including marginalized and impoverished areas of Mexico City. Additionally, we also report the hospital's cumulative outcomes over the 14 months of operation and show that it is feasible to transform a large public venue into a specialized hospital that incorporates a digital platform with robust clinical protocols to provide positive clinical outcomes.

During Mexico's response to the COVID-19 pandemic, the Carlos Slim Foundation (CSF), with a group of local foundations, academic institutions, and the Government of Mexico City, established a synergistic public­private partnership with the purpose of funding, designing, developing, and operating a dedicated COVID-19 hospital. This was achieved in 17 days by rapidly transforming into a hospital the largest convention center in Latin America, which is located in the heart of Mexico City. An ex professo network of eight dedicated respiratory triage community centers in coordination with other 40 federal and state primary health care clinics and hospitals was also established to streamline patient referral, thereby mitigating the impact of the COVID-19 pandemic in Mexico City's metropolitan area. We provide a framework for designing, funding, and executing the operations of a dedicated hospital in response to the COVID-19 pandemic that, from its conception, execution, operation, and closure, involved an exemplary coordination between public-private partnerships during a public health crisis. Referral, admission, treatment, clinical monitoring, discharge, and household follow-up were facilitated by the COVID360 digital health platform. The successful development and implementation of this multi-faceted digital platform allowed a lean patient-centered process, the management of clinical and administrative data, training of healthcare professionals, and the dissemination of accurate health information for data-driven decision making. This rapidly implemented temporary hospital dedicated to the comprehensive care of patients with COVID-19 was critical in coping with the increasing number of cases in Mexico City while achieving outstanding clinical outcomes.

Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals.

Introduction: Despite vast research, premature birth's electrophysiological mechanisms are not fully understood. Prediction of preterm birth contributes to child survival by providing timely and skilled care to both mother and child. Electrohysterography is an affordable, noninvasive technique that has been highly sensitive in diagnosing preterm labor. This study aimed to choose the more appropriate combination of characteristics, such as electrode channel and bandwidth, as well as those linear, time-frequency, and nonlinear features of the electrohysterogram (EHG) for predicting preterm birth using classifiers. Methods: We analyzed two open-access datasets of 30 minutes of EHG obtained in regular checkups of women around 31 weeks of pregnancy who experienced premature labor (P) and term labor (T). The current approach filtered the raw EHGs in three relevant frequency subbands (0.3-1 Hz, 1-2 Hz, and 2-3Hz). The EHG time series were then segmented to create 120-second windows, from which individual characteristics were calculated. The linear, time-frequency, and nonlinear indices of EHG of each combination (channel-filter) were fed to different classifiers using feature selection techniques. Results: The best performance, i.e., 88.52% accuracy, 83.83% sensitivity, and 93.22% specificity, was obtained in the 2-3 Hz bands using Medium Frequency, Continuous Wavelet Transform (CWT), and entropy-based indices. Interestingly, CWT features were significantly different in all filter-channel combinations. The proposed study uses small samples of EHG signals to diagnose preterm birth accurately, showing their potential application in the clinical environment. Discussion: Our results suggest that CWT and novel entropy-based features of EHG could be suitable descriptors for analyzing and understanding the complex nature of preterm labor mechanisms.

The Waiting Game - How Cooperation Between Public and Private Hospitals Can Help Reduce Waiting Lists.

Prolonged waiting to access health care is a primary concern for nations aiming for comprehensive effective care, due to its adverse effects on mortality, quality of life, and government approval. Here, we propose two novel bargaining frameworks to reduce waiting lists in two-tier health care systems with local and regional actors. In particular, we assess the impact of 1) trading patients on waiting lists among hospitals, the 2) introduction of the role of private hospitals in capturing unfulfilled demand, and the 3) hospitals' willingness to share capacity on the system performance. We calibrated our models with 2008-2018 Chilean waiting list data. If hospitals trade unattended patients, our game-theoretic models indicate a potential reduction of waiting lists of up to 37%. However, when private hospitals are introduced into the system, we found a possible reduction of waiting lists of up to 60%. Further analyses revealed a trade-off between diagnosing unserved demand and the additional expense of using private hospitals as a back-up system. In summary, our game-theoretic frameworks of waiting list management in two-tier health systems suggest that public-private cooperation can be an effective mechanism to reduce waiting lists. Further empirical and prospective evaluations are needed.

Integrated Measurement for Early Detection (MIDO) as a digital strategy for timely assessment of non-communicable disease profiles and factors associated with unawareness and control: a retrospective observational study in primary healthcare facilities in Mexico.

OBJECTIVES: The Carlos Slim Foundation implemented the Integrated Measurement for Early Detection (MIDO), a screening strategy for non-communicable diseases (NCDs) in Mexico as part of CASALUD, a portfolio of digital health services focusing on healthcare delivery and prevention/management of NCDs. We investigated the disease profile of the screened population and evaluated MIDO's contribution to the continuum of care of the main NCDs. DESIGN: Using data from MIDO and the chronic diseases information system, we quantified the proportion of the population screened and diagnosed with NCDs, and measured care linkage/retention and level of control achieved. We analysed comorbidity patterns and estimated prevalence of predisease stages. Finally, we estimated characteristics associated with unawareness and control of NCDs, and examined efficacy of the CASALUD model in improving NCD control. SETTING: Public primary health centres in 27/32 Mexican states. PARTICIPANTS: Individuals aged ≥20 years lacking healthcare access. RESULTS: From 2014 to 2018, 743 000 individuals were screened using MIDO. A predisease or disease condition was detected in ≥70% of the population who were unaware of their NCD status. The screening identified 38 417 new cases of type 2 diabetes, 53 133 new cases of hypertension and 208 627 individuals with obesity. Dyslipidaemia was found in 77.3% of individuals with available blood samples. Comorbidities were highly prevalent, especially in people with obesity. Only 5.47% (n=17 774) of individuals were linked with their corresponding primary health centre. Factors associated with unawareness of and uncontrolled NCDs were sex, age, and social determinants, for example, rural/urban environment, access to healthcare service, and education level. Patients with type 2 diabetes treated at clinics under the CASALUD model were more likely to achieve disease control (OR: 1.32, 95% CI: 1.09 to 1.61). CONCLUSION: Patient-centred screening strategies such as MIDO are urgently needed to improve screening, access, retention and control for patients with NCDs.

Impact of preemptive hospitalization on health outcomes at the temporary COVID-19 hospital in Mexico City: a prospective observational study.

INTRODUCTION: In response to the evolution of the coronavirus disease 2019 (COVID-19) pandemic, the admission protocol for the temporary COVID-19 hospital in Mexico City has been updated to hospitalize patients preemptively with an oxygen saturation (SpO2) of >90%. METHODS: This prospective, observational, single-center study compared the progression and outcomes of patients who were preemptively hospitalized versus those who were hospitalized based on an SpO2 ⩽90%. We recorded patient demographics, clinical characteristics, COVID-19 symptoms, and oxygen requirement at admission. We calculated the risk of disease progression and the benefit of preemptive hospitalization, stratified by CALL Score: age, lymphocyte count, and lactate dehydrogenase (<8 and ⩾8) at admission. RESULTS: Preemptive hospitalization significantly reduced the requirement for oxygen therapy (odds ratio 0.45, 95% confidence interval 0.31-0.66), admission to the intensive care unit (ICU) (0.37, 0.23-0.60), requirement for invasive mechanical ventilation (IMV) (0.40, 0.25-0.64), and mortality (0.22, 0.10-0.50). Stratification by CALL score at admission showed that the benefit of preemptive hospitalization remained significant for patients requiring oxygen therapy (0.51, 0.31-0.83), admission to the ICU (0.48, 0.27-0.86), and IMV (0.51, 0.28-0.92). Mortality risk remained significantly reduced (0.19, 0.07-0.48). CONCLUSION: Preemptive hospitalization reduced the rate of disease progression and may be beneficial for improving COVID-19 patient outcomes.

Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle.

Selection indexes in dual-purpose cattle should include beef, milk and reproductive traits. The principal component analysis is a multivariate technique that allows researchers to explore relationships between explanatory variables and traits of interest. The objective of this study was to construct selection indexes for tropical dual-purpose Simmental cattle based on principal components. The evaluated traits were weight at 8 months of age; age at first calving; cumulative first-lactation milk yield at 60, 150, 210 and 305 days; and first calving interval. The selection indexes were estimated as the sum of the products of the estimated breeding values for the seven traits times their respective eigenvectors for the first three principal components. The three selection indexes from principal components analysis generated favourable expected genetic progress for all the traits. However, a selection index with a high expected genetic progress for all traits could not be obtained. The principal component analysis allows breeders to have a selection index that simultaneously improves milk, beef and reproductive traits in dual-purpose Simmental cattle. Because a selection index yielding high expected genetic progress for all traits could not be achieved, the decision to use a specific selection index will depend on the specific conditions of the market, the local needs and the farmer preference.